Recent Advances In Face Recognition

Author : Kresimir Delac
Publisher : BoD – Books on Demand
ISBN 13 : 9537619346
Total Pages : 250 pages
Book Rating : 4.43/5 ( download)

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Download or read book Recent Advances in Face Recognition written by Kresimir Delac and published by BoD – Books on Demand. This book was released on 2008-12-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications. This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.

Author : Michal Kawulok
Publisher : Springer
ISBN 13 : 331925958X
Total Pages : 434 pages
Book Rating : 4.81/5 ( download)

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Download or read book Advances in Face Detection and Facial Image Analysis written by Michal Kawulok and published by Springer. This book was released on 2016-04-02 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.

Author : Stan Z. Li
Publisher : Springer Science & Business Media
ISBN 13 : 0387272577
Total Pages : 394 pages
Book Rating : 4.73/5 ( download)

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Download or read book Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2005-12-06 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.

Author : Fadi Dornaika
Publisher : Bentham Science Publishers
ISBN 13 : 1681081105
Total Pages : 264 pages
Book Rating : 4.06/5 ( download)

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Download or read book Advances in Face Image Analysis written by Fadi Dornaika and published by Bentham Science Publishers. This book was released on 2016-03-02 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Face Image Analysis: Theory and applications describes several approaches to facial image analysis and recognition. Eleven chapters cover advances in computer vision and pattern recognition methods used to analyze facial data. The topics addressed in this book include automatic face detection, 3D face model fitting, robust face recognition, facial expression recognition, face image data embedding, model-less 3D face pose estimation and image-based age estimation. The chapters are also written by experts from a different research groups. Readers will, therefore, have access to contemporary knowledge on facial recognition with some diverse perspectives offered for individual techniques. The book is a useful resource for a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire pattern recognition community interested in processing and extracting features from raw face images, and iii) technical experts as well as postgraduate computer science students interested in cutting edge concepts of facial image recognition.

Author : Harry Wechsler
Publisher : Springer Science & Business Media
ISBN 13 : 3642722016
Total Pages : 645 pages
Book Rating : 4.11/5 ( download)

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Download or read book Face Recognition written by Harry Wechsler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications took place in Stirling, Scotland, UK, from June 23 through July 4, 1997. The meeting brought together 95 participants (including 18 invited lecturers) from 22 countries. The lecturers are leading researchers from academia, govemment, and industry from allover the world. The lecturers presented an encompassing view of face recognition, and identified trends for future developments and the means for implementing robust face recognition systems. The scientific programme consisted of invited lectures, three panels, and (oral and poster) presentations from students attending the AS!. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (i) human processing of face recognition and its relevance to forensic systems, (ii) face coding, (iii) connectionist methods and support vector machines (SVM), (iv) hybrid methods for face recognition, and (v) predictive learning and performance evaluation. The goals of the panels were to provide links among the lectures and to emphasis the themes of the meeting. The topics of the panels were: (i) How the human visual system processes faces, (ii) Issues in applying face recognition: data bases, evaluation and systems, and (iii) Classification issues involved in face recognition. The presentations made by students gave them an opportunity to receive feedback from the invited lecturers and suggestions for future work.

Author : Harry Wechsler
Publisher : Springer Science & Business Media
ISBN 13 : 0387384642
Total Pages : 332 pages
Book Rating : 4.41/5 ( download)

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Download or read book Reliable Face Recognition Methods written by Harry Wechsler and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. The book’s focused approach and its clarity of presentation make this an excellent reference work.

Author : Matthieu Salzmann
Publisher : Springer Nature
ISBN 13 : 3031018095
Total Pages : 132 pages
Book Rating : 4.91/5 ( download)

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Download or read book Boosting-Based Face Detection and Adaptation written by Matthieu Salzmann and published by Springer Nature. This book was released on 2022-06-01 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view of boosting and the concept of multiple instance learning. We start by describing a boosting learning framework that is capable to handle billions of training examples. It differs from traditional bootstrapping schemes in that no intermediate thresholds need to be set during training, yet the total number of negative examples used for feature selection remains constant and focused (on the poor performing ones). A multiple instance pruning scheme is then adopted to set the intermediate thresholds after boosting learning. This algorithm generates detectors that are both fast and accurate. We then present two multiple instance learning schemes for face detection, multiple instance learning boosting (MILBoost) and winner-take-all multiple category boosting (WTA-McBoost). MILBoost addresses the uncertainty in accurately pinpointing the location of the object being detected, while WTA-McBoost addresses the uncertainty in determining the most appropriate subcategory label for multiview object detection. Both schemes can resolve the ambiguity of the labeling process and reduce outliers during training, which leads to improved detector performances. In many applications, a detector trained with generic data sets may not perform optimally in a new environment. We propose detection adaption, which is a promising solution for this problem. We present an adaptation scheme based on the Taylor expansion of the boosting learning objective function, and we propose to store the second order statistics of the generic training data for future adaptation. We show that with a small amount of labeled data in the new environment, the detector's performance can be greatly improved. We also present two interesting applications where boosting learning was applied successfully. The first application is face verification for filtering and ranking image/video search results on celebrities. We present boosted multi-task learning (MTL), yet another boosting learning algorithm that extends MILBoost with a graphical model. Since the available number of training images for each celebrity may be limited, learning individual classifiers for each person may cause overfitting. MTL jointly learns classifiers for multiple people by sharing a few boosting classifiers in order to avoid overfitting. The second application addresses the need of speaker detection in conference rooms. The goal is to find who is speaking, given a microphone array and a panoramic video of the room. We show that by combining audio and visual features in a boosting framework, we can determine the speaker's position very accurately. Finally, we offer our thoughts on future directions for face detection. Table of Contents: A Brief Survey of the Face Detection Literature / Cascade-based Real-Time Face Detection / Multiple Instance Learning for Face Detection / Detector Adaptation / Other Applications / Conclusions and Future Work

Author : Zhang, Yu-Jin
Publisher : IGI Global
ISBN 13 : 1615209921
Total Pages : 404 pages
Book Rating : 4.27/5 ( download)

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Download or read book Advances in Face Image Analysis: Techniques and Technologies written by Zhang, Yu-Jin and published by IGI Global. This book was released on 2010-07-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than 30 leading experts from around the world provide comprehensive coverage of various branches of face image analysis, making this text a valuable asset for students, researchers, and practitioners engaged in the study, research, and development of face image analysis techniques.

Author : Sam S. Rakover
Publisher : John Benjamins Publishing
ISBN 13 : 9027298394
Total Pages : 316 pages
Book Rating : 4.93/5 ( download)

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Download or read book Face Recognition written by Sam S. Rakover and published by John Benjamins Publishing. This book was released on 2001-10-12 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face Recognition: Cognitive and Computational Processes critically discusses current research in face recognition, leading to an original approach with criminological applications. The book covers • The methodological and philosophical basis of research in face recognition. • Findings and their explanations, conceptual issues, theories and models of face recognition • The Catch Model (Rakover & Cahlon) for reconstructing (identifying) a face from memory, and other models and methods of face reconstruction. • Conscious perception and recognition of faces. The book also discusses original ideas on conceptualizing face perception and recognition in tasks of facial cognition, developing the Schema Theory and the Catch Model, and introducing Rakover & Cahlon's discovery of the proposed law of Face Recognition by Similarity (FRBS). (Series B)

Author : Stan Z. Li
Publisher : Springer Science & Business Media
ISBN 13 : 0857299328
Total Pages : 694 pages
Book Rating : 4.21/5 ( download)

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Download or read book Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2011-08-22 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.